Designing Novel Functional Materials Through Data-Infused Microscopy
- Abstract number
- 4
- Corresponding Email
- [email protected]
- Session
- Stream 2: EMAG - Electron Crystallography and Diffraction
- Authors
- Dr. Steven Spurgeon (1)
- Affiliations
-
1. Pacific Northwest National Laboratory
- Keywords
scanning transmission electron microscopy, data science, machine learning, nanomaterials, synthesis
- Abstract text
The development of advanced nanomaterials synthesis techniques over the past several decades has sparked a renaissance in the design of clean energy and quantum computing technologies. While it is now possible to produce nanostructured materials in almost limitless configurations, engineering of desirable functionality for device applications depends on precise control of atomistic structure and defects. We have developed a materials design strategy using data-infused scanning transmission electron microscopy to richly inform synthesis and modeling efforts. Here I will describe our efforts toward a new data-centric approach that is redefining how we study materials and enabling us to extract truly statistical information at scale. I will illustrate how vast, multi-modal data streams from modern electron microscopy can help unlock the promising materials of the future.